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Option Trading Project for the Course Advanced Data Analytics - HEC Lausanne - Spring 2021

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Option Trading Project

Option Trading Project for the Course Advanced Data Analytics - HEC Lausanne - Spring 2021

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Data

  • Download and clean option data
  • Keep only stock with a large market cap
  • Merge option data, with stock data --> we need to compare the option to the stock to measure returns
  • Efficient data-loading (pickle)

Portfolio class

  • Cash invested
  • Options held
  • Trading decisions (buy sell)
  • Free cash management

Performance measure

  • Returns
  • Sharp-ratio
  • Alphas <- factor regression and keep the alpha r = alpha + beta_1*mkt + beta_2 * mom + beta_3 HmL +...
  • Trading strategies

Define and pre-process/code some features/predictors

Use some ML model to make prediciton about stock --> trade on those signals a) signals about the mean direciton fo the stock, b) signals about specific part of the distributions of asset.

Use ML to define an option-pricing model which is going to price the whole cross section and we buy whatever the algorithm deems underated.

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Option Trading Project for the Course Advanced Data Analytics - HEC Lausanne - Spring 2021

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